{"id":"https://openalex.org/W2106452951","doi":"https://doi.org/10.1162/evco_a_00113","title":"Choosing the Appropriate Forecasting Model for Predictive Parameter Control","display_name":"Choosing the Appropriate Forecasting Model for Predictive Parameter Control","publication_year":2013,"publication_date":"2013-10-21","ids":{"openalex":"https://openalex.org/W2106452951","doi":"https://doi.org/10.1162/evco_a_00113","mag":"2106452951","pmid":"https://pubmed.ncbi.nlm.nih.gov/24144383"},"language":"en","primary_location":{"id":"doi:10.1162/evco_a_00113","is_oa":false,"landing_page_url":"https://doi.org/10.1162/evco_a_00113","pdf_url":null,"source":{"id":"https://openalex.org/S38677346","display_name":"Evolutionary Computation","issn_l":"1063-6560","issn":["1063-6560","1530-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035346540","display_name":"Aldeida Aleti","orcid":"https://orcid.org/0000-0002-1716-690X"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aldeida Aleti","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia","Faculty of Information Technology, Monash University, Clayton, VIC-3800, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC-3800, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001224504","display_name":"Irene Moser","orcid":"https://orcid.org/0000-0002-1345-3901"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Irene Moser","raw_affiliation_strings":["Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia","Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia#TAB#","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090497331","display_name":"Indika Meedeniya","orcid":null},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Indika Meedeniya","raw_affiliation_strings":["Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia","Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia#TAB#","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011312561","display_name":"Lars Grunske","orcid":"https://orcid.org/0000-0002-8747-3745"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars Grunske","raw_affiliation_strings":["Institute of Software Technology, Stuttgart University, D-70569 Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software Technology, Stuttgart University, D-70569 Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9765,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88942348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":"2","first_page":"319","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853062272071838},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5790661573410034},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5097636580467224},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4473794102668762},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4440709948539734},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4341958463191986},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4162614941596985},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4155791997909546},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3970029354095459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35468846559524536},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.31524789333343506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3109015226364136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2999776005744934},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24526488780975342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.231903076171875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853062272071838},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5790661573410034},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5097636580467224},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4473794102668762},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4440709948539734},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4341958463191986},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4162614941596985},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4155791997909546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3970029354095459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35468846559524536},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31524789333343506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3109015226364136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2999776005744934},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24526488780975342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.231903076171875},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003205","descriptor_name":"Computing Methodologies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003205","descriptor_name":"Computing Methodologies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003205","descriptor_name":"Computing Methodologies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1162/evco_a_00113","is_oa":false,"landing_page_url":"https://doi.org/10.1162/evco_a_00113","pdf_url":null,"source":{"id":"https://openalex.org/S38677346","display_name":"Evolutionary Computation","issn_l":"1063-6560","issn":["1063-6560","1530-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary Computation","raw_type":"journal-article"},{"id":"pmid:24144383","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24144383","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary computation","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.7431","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.7431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.monash.edu.au/%7Ealdeidaa/papers/EVCO2014.pdf","raw_type":"text"},{"id":"pmh:oai:researchbank.swinburne.edu.au:1c2e784a-1b3e-4a61-a9ba-89c576895a05/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/381607","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Evolutionary Computation, Vol. 22, no. 2 (Summer 2014), pp. 319-349","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W184219092","https://openalex.org/W1484259050","https://openalex.org/W1494306075","https://openalex.org/W1500820894","https://openalex.org/W1508419498","https://openalex.org/W1535132062","https://openalex.org/W1543258308","https://openalex.org/W1552300222","https://openalex.org/W1559278484","https://openalex.org/W1563965013","https://openalex.org/W1566803874","https://openalex.org/W1587009118","https://openalex.org/W1587100796","https://openalex.org/W1588163064","https://openalex.org/W1661890235","https://openalex.org/W1766172370","https://openalex.org/W1774793752","https://openalex.org/W1878134432","https://openalex.org/W1960673348","https://openalex.org/W1977474365","https://openalex.org/W1985364849","https://openalex.org/W2004229681","https://openalex.org/W2009832821","https://openalex.org/W2010971800","https://openalex.org/W2018367856","https://openalex.org/W2027040902","https://openalex.org/W2028569720","https://openalex.org/W2042301877","https://openalex.org/W2045863650","https://openalex.org/W2046790535","https://openalex.org/W2057338644","https://openalex.org/W2075342830","https://openalex.org/W2078870931","https://openalex.org/W2094222866","https://openalex.org/W2094393344","https://openalex.org/W2096590200","https://openalex.org/W2097571405","https://openalex.org/W2098907614","https://openalex.org/W2112036188","https://openalex.org/W2117643431","https://openalex.org/W2130268070","https://openalex.org/W2132366653","https://openalex.org/W2135366549","https://openalex.org/W2146879413","https://openalex.org/W2150413047","https://openalex.org/W2154494093","https://openalex.org/W2155063211","https://openalex.org/W2166843422","https://openalex.org/W2183174613","https://openalex.org/W2395284556","https://openalex.org/W2486609979","https://openalex.org/W2495093152","https://openalex.org/W3101551212","https://openalex.org/W3102715269","https://openalex.org/W3121235808","https://openalex.org/W3132347552","https://openalex.org/W4213124581","https://openalex.org/W4214597316","https://openalex.org/W4242825053"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W3125011624","https://openalex.org/W2060165215","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2017776670","https://openalex.org/W2101188133","https://openalex.org/W2952760143","https://openalex.org/W2040975418","https://openalex.org/W1995617853"],"abstract_inverted_index":{"All":[0,99],"commonly":[1],"used":[2,21],"stochastic":[3],"optimisation":[4,32],"algorithms":[5,127],"have":[6,103,228],"to":[7,10,69,110,112,117,144,198,214],"be":[8],"parameterised":[9],"perform":[11],"effectively.":[12],"Adaptive":[13],"parameter":[14,28,41,72,93,183,190],"control":[15,184,191],"(APC)":[16],"is":[17,47],"an":[18],"effective":[19],"method":[20,64,116],"for":[22,34,43,71,88,113],"this":[23,76],"purpose.":[24],"APC":[25],"repeatedly":[26],"adjusts":[27],"values":[29,42],"during":[30],"the":[31,67,80,89,105,114,137,145,149,154,166,179,188,194,199,203,215,219,222,234],"process":[33],"optimal":[35],"algorithm":[36],"performance.":[37,52,236],"The":[38],"assignment":[39],"of":[40,65,82,85,91,125,139,156,178,187,224],"a":[44,63,83,170,207,229],"given":[45],"iteration":[46],"based":[48,95],"on":[49,96,233],"previously":[50],"measured":[51],"In":[53,75],"recent":[54],"research,":[55],"time":[56,106],"series":[57,107],"prediction":[58,86,101,115,151,158,180,204,225],"has":[59,109],"been":[60],"proposed":[61],"as":[62],"projecting":[66],"probabilities":[68],"use":[70,223],"value":[73],"selection.":[74],"work,":[77],"we":[78,129,160],"examine":[79],"suitability":[81],"variety":[84],"methods":[87,102,192],"projection":[90],"future":[92],"performance":[94,155,195,209],"previous":[97],"data.":[98],"considered":[100,150],"assumptions":[104,146,200,216],"data":[108,196,210],"conform":[111,142],"provide":[118],"accurate":[119],"projections.":[120],"Looking":[121],"specifically":[122],"at":[123],"parameters":[124,135],"evolutionary":[126],"(EAs),":[128],"find":[130,161],"that":[131,162],"all":[132],"standard":[133],"EA":[134],"with":[136],"exception":[138],"population":[140],"size":[141],"largely":[143],"made":[147,201,217],"by":[148,169,202,218],"methods.":[152],"Evaluating":[153],"these":[157],"methods,":[159],"linear":[163],"regression":[164],"provides":[165],"best":[167],"results":[168],"very":[171],"small":[172],"and":[173],"statistically":[174],"insignificant":[175],"margin.":[176],"Regardless":[177],"method,":[181,221],"predictive":[182],"outperforms":[185],"state":[186],"art":[189],"when":[193],"adheres":[197],"method.":[205],"When":[206],"parameter's":[208],"does":[211,226],"not":[212,227],"adhere":[213],"forecasting":[220],"notable":[230],"adverse":[231],"impact":[232],"algorithm's":[235]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}